Kanata North, Ottawa | Full time, permanent | Reports to Engineering; pairs daily with our Cloud architect and signal analysis lead

About thinkRF

thinkRF is the spectrum intelligence company. From our Kanata North (Ottawa) headquarters, we build the full stack behind SXM, our end-to-end spectrum intelligence platform: RF sensors, edge and cloud compute, and AI/ML analytics used by national telecom regulators, government agencies, and enterprises on five continents. Our sensors monitor entire countries; our analytics turn millions of RF measurements into decisions.

The mission

thinkRF’s latest technological pivot is AI/ML-assisted spectrum intelligence, anchored by our RF Intelligence pipeline – a country-scale production system that turns millions of raw RF measurements into thousands of classified, geolocated emitters. Your mission is to take ownership of that codebase and ship the next generation of it: better models, faster pipelines, deeper attribution. This role is centered on building production systems with ML capabilities, rather than conducting ML research and then deploying it.

Your first 90 days at thinkRF

- Take ownership of the RF Intelligence pipeline through a structured knowledge-transfer plan;
- Ship one measurable improvement to production (classification accuracy, pipeline runtime, or emitter attribution quality), executing the end-to-end software development cycle (requirements, design, implementation, test and release)
- Pair with our Cloud architect and signal processing lead on the feature engineering that feeds the models.

What you will own

- The Intelligence Suite codebase: pipelines, models, evaluation, and deployment.
- Model quality on real national datasets – accuracy that customers see in delivered reports.




- The path from prototype to production: monitoring, versioning, reproducibility.

Mandatory

- Successfully shipped ML systems into production, delivering value to real users.
- Advanced Python development skills
- Advanced Relational Database (PostgreSQL) and structured/tabular data (parquet)
- Advanced ML and Data Analytics skills on python libraries as scikit-learn, scipy, pandas, numpy, networkx
- Entry Level or advanced knowledge on AWS Cloud RDS, S3, Lambda and CloudFormation
- Depth in classical ML – clustering, classification, anomaly detection on sensor or time-series data – reaching for deep learning when warranted, not by default.
- A portfolio demonstrating your work: a repo, a system writeup, or a paper with your code.

Strong assets

- Claude LLM REST API for data analysis and enrichment

- RF, SIGINT, telecom, radar, or spectrum monitoring background.

- Ability to read and write signal-processing-adjacent code: spectral features, FFTs, detection thresholds.

- Geospatial analysis and visualization (GIS, Leaflet-class tooling).

- Edge deployment or model optimization for constrained hardware.

- Eligibility for Canadian Reliability Status screening (due to sovereign data requirements).

How to

Send a short note (ten sentences maximum) plus your receipts to [email protected] with the role title in the subject line. No cover-letter essays.

Receipts to include with your application: a repo link to your work or a two-page writeup of a production ML system you personally built and operated.

thinkRF is an equal opportunity employer. All roles require legal entitlement to work in Canada; some work requires Canadian government reliability-level security screening and eligibility under the Controlled Goods Program, which we will sponsor.

📌 AI/ML Engineer (Ottawa)
🏢 ThinkRF
📍 Ottawa